8 August 2007 Automatic estimation of LIDAR points data spatial resolution distribution
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Abstract
LIDAR is now a widely used technique in the fields of mapping and survey. Various algorithms on LIDAR data analysis and process are present as demanded in the past years. There are plenty of thresholds in these algorithms, which have great relationship with the point spacing. However, there is few researches particular on this issue. In this article, a peak value statistics-based approach aimed at the problem of uneven distribution of points cloud density is described. A grid index is established to manage the points. Then total number of points in each grid index unit is obtained. The statistic produces distribution of resolution and the peak value of the distribution. In this approach, the distribution of points data spatial resolution in the region combined with different kind of terrain feature, is estimated automatically. Compared with resolution obtained by manual method, this algorithm is accurate and effective.
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Hui Li, Hui Li, Deren Li, Deren Li, Xianfeng Huang, Xianfeng Huang, } "Automatic estimation of LIDAR points data spatial resolution distribution", Proc. SPIE 6752, Geoinformatics 2007: Remotely Sensed Data and Information, 675210 (8 August 2007); doi: 10.1117/12.760501; https://doi.org/10.1117/12.760501
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